I spent the first couple minutes just trying to figure out what angle to take.
Start by clarifying the scope and goals of the parking problem, then segment users and identify pain points. Brainstorm solutions, prioritize based on impact and feasibility, and outline a high-level product strategy with success metrics.
Pro tip: Anchor your solution in a clear user problem and tie it to business value; show how you'd validate assumptions with data and iterate, demonstrating product sense and adaptability.
Ask questions to understand the context: Is this for a specific city, campus, or event? What are the key pain points (finding parking, pricing, availability)? Who are the users (drivers, parking operators)?
Break down users into segments (e.g., daily commuters, occasional visitors, commercial drivers) and identify their unique needs and pain points related to parking.
Generate a range of ideas, from low-tech (e.g., better signage) to high-tech (e.g., real-time availability app, dynamic pricing, reservation systems). Consider both supply and demand side.
Evaluate ideas on impact vs. effort, choose a focused solution (e.g., a mobile app for real-time parking availability and reservations), and define the MVP features.
Outline key metrics (e.g., time to find parking, utilization rates, user satisfaction) and a phased roadmap for development, including validation and iteration.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.